Maximizing Wind Power Utilization based on Optimal Transactive Energy Control

Due to the depletion of the fossil fuel and the caused deterioration of the environment and resources, renewable energy is becoming increasingly important to achieve the sustainable development of mankind. Wind power, as one of the vital renewable energy resources, has been explored and utilized in power systems to promote the green energy production in the past decades around the world. However, the wind power curtailment is still a serious problem in real industry which undermines its potential. To address the wind power utilization problem in transmission systems, this paper proposes an integrated optimization model to maximize the wind power utilization from the viewpoint of transactive energy control (TEC). The problem is formulated into a mixed integer quadratic programming (MIQP) model where the transactive conditions proposed by each participant, e.g. wind power plants, conventional power plants, neighboring provinces, energy-intensive load and gird operator in the network is transformed into linear constraints. Case study based on the real wind power data is conducted in the paper and through the TEC, the wind power utilization can be maximized and the benefit of each participants in the system can be guaranteed as well.